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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
| Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| Autore | Li Tiancheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (266 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
5G IoT
automatic fare collection system automotive LFMCW radar block-level once sliding detection window calibration car-following classification clustering compass continuous-time model cooperative approach data fusion decision-making deep learning Doppler-frequency estimation ensemble learning exploitation and exploration extended target tracking extreme learning machine Fireworks Algorithm fuzzy inference fuzzy logic gamma-Gaussian-inverse Wishart GNSS Grey Wolf Optimizer histogram of oriented gradient hybrid algorithm indoor positioning Internet of Things Kalman filter laser range finder laser simulator lateral velocity local map localization LoRa LoRaWAN map matching microscopic traffic model MIMU multi-shape detection-window navigation object-detection coprocessor odometer odometry passenger flow forecasting path panning Poisson multi-Bernoulli mixture positioning positioning accuracy power efficiency radial velocity range-only SLAM sensor data sensor fusion signal model simultaneous localization and mapping (SLAM) single access point positioning singular spectrum analysis smart community system softmax state constraints sum of Gaussian (SoG) filter support vector machine Takagi-Sugeno target detection TDoA tensor modeling time series decomposition tracking waveform wheeled mobile robot Wi-Fi camera |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557384803321 |
Li Tiancheng
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Hydro-Meteorology
| Remote Sensing of Hydro-Meteorology |
| Autore | Lee Joo-Heon |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (154 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
agricultural drought
Bayesian principal component analysis (BPCA) China El Niño-Southern Oscillation El Niño-Southern Oscillation (ENSO) error propagation extreme precipitation index fuzzy C-means clustering genetic programming Huai River Basin hydrological drought hydrological modeling Indian Ocean Dipole (IOD) Indian Ocean Dipole mode integrated drought monitoring intentional statistical simulation KGE linear trend meteorological drought MODIS chlorophyll-a monsoon-climate watershed multiple polynomial regression mutual information non-stationarity of seasonal precipitation PERSIANN-CDR prediction rainfall variability remote sensing satellite-based precipitation sentinel-2A MSI singular spectrum analysis spatial downscaling statistical model statistical simulation typhoon-induced rainfall |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566458603321 |
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Lee Joo-Heon
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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